Agent skill

Skill Sentinel

by diegosouzapw in diegosouzapw/awesome-omni-skills

Skill Sentinel workflow skill. An agent skill from diegosouzapw/awesome-omni-skills.

MITAuto-check passed

Install Skill Sentinel

skills CLI
$ npx skills add diegosouzapw/awesome-omni-skills --skill skill-sentinel -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install diegosouzapw/awesome-omni-skills skill-sentinel --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/diegosouzapw/awesome-omni-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skill-sentinel .claude/skills/skill-sentinel && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
skill-sentinel
GitHub stars
159
Token cost
~4.2k tokens
SKILL.md length
1,645 words
Files
24 (incl. scripts, references)
Skills in repo
39
Repo updated
First seen
Licence
MIT

At a glance

Skill Sentinel workflow skill. An agent skill from diegosouzapw/awesome-omni-skills.

  • Works in 7 steps: python… → Primeira auditoria do ecossistema: `… → Monitorar evolucao ao longo do tempo:… → …
  • The user needs Auditoria e evolucao do ecossistema de skills
  • SKILL.md covers Overview, When to Use This Skill, Operating Table and Workflow, plus 5 more sections
  • Runs Python scripts from its folder; calls python and pip; reaches github.com

What it does

Skill Sentinel is an agent skill from diegosouzapw/awesome-omni-skills. Skill Sentinel workflow skill. Use this skill when the user needs Auditoria e evolucao do ecossistema de skills. Qualidade de codigo, seguranca, custos, gaps, duplicacoes, dependencias e relatorios de saude and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

Its SKILL.md is about 4.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 26 other files, including scripts and reference files (for example `ORIGIN.md`, `metadata.json` and `references/analysis_criteria.md`).

The repository describes itself as: Public repository of AI coding skills, curated improved best-practice skills, and runtime surfaces for CLI, API, MCP, and A2A. The licence is MIT.

When your agent uses it

  • The user needs Auditoria e evolucao do ecossistema de skills

Example prompts

  • “/skill-sentinel”

Requirements

  • Python 3

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. python C:\Users\renat\skills\skill-sentinel\scripts\runaudit.py --format json 1.
  2. Primeira auditoria do ecossistema: ` python runaudit.py Gera relatorio completo com scores, findings e recomendacoes.
  3. Monitorar evolucao ao longo do tempo: python runaudit.py --compare Mostra delta de scores entre auditorias.
  4. Validar uma skill antes de deploy: python runaudit.py --skill nome-da-skill Auditoria focada com findings especificos.
  5. Identificar proxima skill a criar: python run_audit.py --recommend ` Gap analysis com templates prontos.
  6. Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
  7. Read the overview and provenance files before loading any copied upstream support files.

What it can do on your machine

Read from SKILL.md and the folder at commit c3af004. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 11 files in scripts/ (Python, from the files we listed), which the agent can run.

    Shell commands in SKILL.md call:

    • python
    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Skill Sentinel loads about 4.2k tokens when it runs, and up to ~6.9k if it reads all its reference files. Until then it costs about 86 tokens; SKILL.md has 1,645 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~86
When it runs · the whole SKILL.md, loaded when a task matches
~4.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from diegosouzapw/awesome-omni-skills at commit c3af004, republished under its MIT licence (© diegosouzapw). 1,645 words, ~4,197 tokens.

Download SKILL.mdSave it as .claude/skills/skill-sentinel/SKILL.md (or your agent's skills folder). This skill also uses 23 other files; get the full folder from GitHub.
name
skill-sentinel
description
Skill Sentinel workflow skill. Use this skill when the user needs Auditoria e evolucao do ecossistema de skills. Qualidade de codigo, seguranca, custos, gaps, duplicacoes, dependencias e relatorios de saude and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
version
0.0.1
category
testing-security
tags
governance, audit, quality, skill-health, skill-sentinel, auditoria, evolucao, ecossistema
complexity
advanced
risk
caution
tools
claude-code, antigravity, cursor, gemini-cli, codex-cli, opencode
source
community
author
renat
date_added
2026-04-15
date_updated
2026-04-25

Skill Sentinel

Overview

This public intake copy packages plugins/antigravity-awesome-skills-claude/skills/skill-sentinel from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.

Skill Sentinel

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: How It Works, Resumo Rapido, Localizacao, Instalacao, Comandos Principais, Auditoria Completa De Todas As Skills.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

  • When the user mentions "auditar skills" or related topics
  • When the user mentions "qualidade skills" or related topics
  • When the user mentions "verificar skills ecossistema" or related topics
  • When the user mentions "saude ecossistema skills" or related topics
  • When the user mentions "skills duplicadas" or related topics
  • When the user mentions "otimizar skills" or related topics

Operating Table

SituationStart hereWhy it matters
First-time usemetadata.jsonConfirms repository, branch, commit, and imported path through the external_source block before touching the copied workflow
Provenance reviewORIGIN.mdGives reviewers a plain-language audit trail for the imported source
Workflow executionreferences/analysis_criteria.mdStarts with the smallest copied file that materially changes execution
Supporting contextreferences/schema.mdAdds the next most relevant copied source file without loading the entire package
Handoff decision## Related SkillsHelps the operator switch to a stronger native skill when the task drifts

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

  1. python C:\Users\renat\skills\skill-sentinel\scripts\runaudit.py --format json 1.
  2. Primeira auditoria do ecossistema: ` python runaudit.py Gera relatorio completo com scores, findings e recomendacoes.
  3. Monitorar evolucao ao longo do tempo: python runaudit.py --compare Mostra delta de scores entre auditorias.
  4. Validar uma skill antes de deploy: python runaudit.py --skill nome-da-skill Auditoria focada com findings especificos.
  5. Identificar proxima skill a criar: python run_audit.py --recommend ` Gap analysis com templates prontos.
  6. Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
  7. Read the overview and provenance files before loading any copied upstream support files.
Imported Workflow Notes
Imported: Output Em Json (Para Processamento)

python C:\Users\renat\skills\skill-sentinel\scripts\run_audit.py --format json

Imported: Workflows Comuns

1. Primeira auditoria do ecossistema:

python run_audit.py

Gera relatorio completo com scores, findings e recomendacoes.

2. Monitorar evolucao ao longo do tempo:

python run_audit.py --compare

Mostra delta de scores entre auditorias.

3. Validar uma skill antes de deploy:

python run_audit.py --skill nome-da-skill

Auditoria focada com findings especificos.

4. Identificar proxima skill a criar:

python run_audit.py --recommend

Gap analysis com templates prontos.

Imported: Overview

Auditoria e evolucao do ecossistema de skills. Qualidade de codigo, seguranca, custos, gaps, duplicacoes, dependencias e relatorios de saude.

Imported: How It Works

Meta-agente que monitora, audita e evolui o ecossistema de skills. Analisa todas as skills em 7 dimensoes, identifica problemas, sugere melhorias e recomenda novas skills especialistas.

Examples

Example 1: Ask for the upstream workflow directly
text
Use @skill-sentinel to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review
text
Review @skill-sentinel against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution
text
Use @skill-sentinel for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet
text
Review @skill-sentinel using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

  • Provide clear, specific context about your project and requirements
  • Review all suggestions before applying them to production code
  • Combine with other complementary skills for comprehensive analysis
  • Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.
  • Prefer the smallest useful set of support files so the workflow stays auditable and fast to review.
  • Keep provenance, source commit, and imported file paths visible in notes and PR descriptions.
  • Point directly at the copied upstream files that justify the workflow instead of relying on generic review boilerplate.
Imported Operating Notes
Imported: Best Practices
  • Provide clear, specific context about your project and requirements
  • Review all suggestions before applying them to production code
  • Combine with other complementary skills for comprehensive analysis

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in plugins/antigravity-awesome-skills-claude/skills/skill-sentinel, fails to mention provenance, or does not use any copied source files at all. Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Check the external_source block first, then restate the provenance before continuing.

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task. Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Show full SKILL.md (656 more words)Show less
  • @00-andruia-consultant - Use when the work is better handled by that native specialization after this imported skill establishes context.
  • @00-andruia-consultant-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
  • @10-andruia-skill-smith - Use when the work is better handled by that native specialization after this imported skill establishes context.
  • @10-andruia-skill-smith-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

Resource familyWhat it gives the reviewerExample path
referencescopied reference notes, guides, or background material from upstreamreferences/analysis_criteria.md
examplesworked examples or reusable prompts copied from upstreamexamples/n/a
scriptsupstream helper scripts that change execution or validationscripts/analyzers/__init__.py
agentsrouting or delegation notes that are genuinely part of the imported packageagents/n/a
assetssupporting assets or schemas copied from the source packageassets/n/a
Imported Reference Notes
Imported: Resumo Rapido
AreaScriptO que faz
Discoveryscanner.pyDescobre todas as skills automaticamente
Qualidadeanalyzers/code_quality.pyComplexidade, docstrings, error handling
Segurancaanalyzers/security.pySecrets, SQL injection, HTTPS
Performanceanalyzers/performance.pyAPI calls, caching, retry
Governancaanalyzers/governance_audit.pyRate limits, audit log, confirmacoes
Documentacaoanalyzers/documentation.pySKILL.md, triggers, references
Dependenciasanalyzers/dependencies.pyrequirements.txt, versoes
Cross-Skillanalyzers/cross_skill.pyDuplicacao, padroes compartilhados
Custoscost_optimizer.pyTokens, verbosidade, output
Recomendacoesrecommender.pyGap analysis, novas skills
Relatorioreport_generator.pyMarkdown estruturado
Orquestracaorun_audit.pyCLI principal
Imported: Localizacao
C:\Users\renat\skills\skill-sentinel\
├── SKILL.md
├── scripts/
│   ├── requirements.txt
│   ├── config.py
│   ├── db.py
│   ├── governance.py
│   ├── scanner.py
│   ├── analyzers/
│   │   ├── code_quality.py
│   │   ├── security.py
│   │   ├── performance.py
│   │   ├── governance_audit.py
│   │   ├── documentation.py
│   │   ├── dependencies.py
│   │   └── cross_skill.py
│   ├── recommender.py
│   ├── cost_optimizer.py
│   ├── report_generator.py
│   └── run_audit.py
├── references/
│   ├── analysis_criteria.md
│   ├── security_patterns.md
│   ├── skill_template.md
│   └── schema.md
└── data/
    ├── sentinel.db
    └── reports/
Imported: Instalacao
bash
pip install -r C:\Users\renat\skills\skill-sentinel\scripts\requirements.txt
Imported: Comandos Principais
bash

#### Imported: Auditoria Completa De Todas As Skills

python C:\Users\renat\skills\skill-sentinel\scripts\run_audit.py

#### Imported: Auditar Apenas Uma Skill

python C:\Users\renat\skills\skill-sentinel\scripts\run_audit.py --skill instagram

#### Imported: Apenas Recomendacoes De Novas Skills

python C:\Users\renat\skills\skill-sentinel\scripts\run_audit.py --recommend

#### Imported: Comparar Com Auditoria Anterior (Tendencias)

python C:\Users\renat\skills\skill-sentinel\scripts\run_audit.py --compare

#### Imported: Ver Historico De Auditorias

python C:\Users\renat\skills\skill-sentinel\scripts\run_audit.py --history

#### Imported: Descobrir Skills Disponiveis

python C:\Users\renat\skills\skill-sentinel\scripts\scanner.py

#### Imported: Ver Audit Log Do Sentinel

python C:\Users\renat\skills\skill-sentinel\scripts\governance.py

#### Imported: Verificar Banco De Dados

python C:\Users\renat\skills\skill-sentinel\scripts\db.py
Imported: 1. Qualidade De Codigo (Peso: 20%)
  • Complexidade ciclomatica por funcao (limiar: 10)
  • Tamanho de funcoes (limiar: 50 linhas)
  • Tamanho de arquivos (limiar: 500 linhas)
  • Cobertura de docstrings
  • Padroes de error handling (bare except, broad except)
Imported: 2. Seguranca (Peso: 20%)
  • Secrets hardcoded (tokens, passwords, API keys)
  • SQL injection (f-strings em queries)
  • URLs HTTP inseguras
  • Tokens em logs
  • Validacao de input
Imported: 3. Performance (Peso: 15%)
  • Retry com backoff para APIs
  • Timeouts configurados
  • Reuso de conexoes HTTP
  • N+1 queries
  • Async/concorrencia
Imported: 4. Governanca (Peso: 15%)
  • Nivel 0: Nenhuma
  • Nivel 1: Action logging
  • Nivel 2: Logging + rate limiting
  • Nivel 3: Completa (+ confirmacoes 2-step)
  • Nivel 4: Avancada (+ alertas e trends)
Imported: 5. Documentacao (Peso: 15%)
  • SKILL.md com frontmatter (name, description, version)
  • Trigger keywords (PT-BR e EN)
  • Secoes obrigatorias e recomendadas
  • Reference files
Imported: 6. Dependencias (Peso: 15%)
  • requirements.txt presente
  • Versoes pinadas
  • Deps importadas vs listadas
  • Deps listadas vs importadas
Imported: 7. Cross-Skill (Analise Global)
  • Modulos duplicados entre skills
  • Padroes de Database compartilhados
  • Governanca inconsistente
  • Oportunidades de extracao
Imported: Otimizacao De Custos

Alem das 7 dimensoes, o sentinel analisa impacto de custo:

  • Tamanho do SKILL.md (tokens consumidos por ativacao)
  • References grandes sem indice
  • Output verboso dos scripts
  • Ausencia de output JSON estruturado
Imported: Gap Analysis E Recomendacoes

O recommender identifica capacidades ausentes no ecossistema comparando com uma taxonomia de 20 categorias e gera templates de SKILL.md prontos para novas skills sugeridas.

Imported: Governanca Do Sentinel

O proprio sentinel pratica o que prega:

  • Todas as auditorias sao registradas em action_log
  • Historico de scores em score_history para tendencias
  • Relatorios salvos em data/reports/
Imported: Formato Do Relatorio

O relatorio gerado em data/reports/ contem:

  1. Resumo executivo (tabela de scores)
  2. Tendencias (se houver auditoria anterior)
  3. Findings por severidade (critico/alto/medio/baixo/info)
  4. Analise por skill (detalhada)
  5. Recomendacoes de novas skills
  6. Plano de acao priorizado
Imported: Referencias

Para detalhes tecnicos, consultar:

  • references/analysis_criteria.md - Rubricas de scoring
  • references/security_patterns.md - Padroes de seguranca
  • references/skill_template.md - Template para novas skills
  • references/schema.md - Schema do banco de dados
Imported: Common Pitfalls
  • Using this skill for tasks outside its domain expertise
  • Applying recommendations without understanding your specific context
  • Not providing enough project context for accurate analysis
Imported: Limitations
  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

© diegosouzapw, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 23 other files (scripts, references) in skills/skill-sentinel of diegosouzapw/awesome-omni-skills.

  • SKILL.md
  • ORIGIN.md
  • metadata.json
  • references/analysis_criteria.md
  • references/schema.md
  • references/security_patterns.md
  • references/skill_template.md
  • scripts/analyzers/__init__.py
  • scripts/analyzers/code_quality.py
  • scripts/analyzers/cross_skill.py
  • scripts/analyzers/dependencies.py
  • scripts/analyzers/documentation.py
  • scripts/analyzers/governance_audit.py
  • scripts/analyzers/performance.py
  • scripts/analyzers/security.py
  • scripts/config.py
  • scripts/cost_optimizer.py
  • scripts/db.py
  • … and 6 more

Open the folder on GitHubat commit c3af004

Compare with similar skills

Skill Sentinel next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Skill Sentinel compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Skill Sentinel this skilldiegosouzapw/awesome-omni-skills159—~4.2kAutomated safety check: PassMIT
Skill Sentinelsickn33/agentic-awesome-skills47k2 repos~2kAutomated safety check: PassMIT
SQL Sentinelsickn33/agentic-awesome-skills47k1 repos~1.5kAutomated safety check: PassMIT
Convex Sentinelopenclaw/clawhub9.5k1 repos~362Automated safety check: PassMIT
Building Cloud Siem With Sentinelmukul975/Anthropic-Cybersecurity-Skills34k—~3.3kAutomated safety check: PassApache-2.0
Sentinelvinayaklatthe/microsoft-security-skills175—~2.2kAutomated safety check: PassMIT

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Questions about Skill Sentinel

What does Skill Sentinel do?

Skill Sentinel workflow skill. An agent skill from diegosouzapw/awesome-omni-skills. Skill Sentinel is an agent skill from diegosouzapw/awesome-omni-skills. Skill Sentinel workflow skill.

When should I use Skill Sentinel?

Skill Sentinel fits situations like: the user needs Auditoria e evolucao do ecossistema de skills.

How do I install Skill Sentinel in Claude Code?

Run `npx skills add diegosouzapw/awesome-omni-skills --skill skill-sentinel -a claude-code`. Or copy the skill folder (skills/skill-sentinel in diegosouzapw/awesome-omni-skills) into .claude/skills/skill-sentinel in your project. Claude Code loads it when a task matches its description.

How do I install Skill Sentinel in Codex?

Run `npx skills add diegosouzapw/awesome-omni-skills --skill skill-sentinel -a codex`. Or copy the skill folder (skills/skill-sentinel in diegosouzapw/awesome-omni-skills) into .agents/skills/skill-sentinel in your project. Codex loads it when a task matches its description.

Can I use Skill Sentinel in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add diegosouzapw/awesome-omni-skills --skill skill-sentinel -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-sentinel, .gemini/skills/skill-sentinel, .github/skills/skill-sentinel and .opencode/skills/skill-sentinel in your project.

What does Skill Sentinel need to run?

Going by SKILL.md and its folder, Skill Sentinel needs Python for the scripts in its folder and the command-line tools its instructions call (python and pip). Our summary lists: Python 3.

Does Skill Sentinel access the network?

SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Skill Sentinel safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Skill Sentinel use?

Skill Sentinel is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Skill Sentinel use?

About 4.2k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.7k tokens, read only when the agent opens those files.

What are the alternatives to Skill Sentinel?

Skills that share tags, products or a category with Skill Sentinel: Skill Sentinel (sickn33/agentic-awesome-skills, 47k stars), SQL Sentinel (sickn33/agentic-awesome-skills, 47k stars), Convex Sentinel (openclaw/clawhub, 9.5k stars) and Building Cloud Siem With Sentinel (mukul975/Anthropic-Cybersecurity-Skills, 34k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Skill Sentinel?

diegosouzapw (a GitHub user) maintains it in diegosouzapw/awesome-omni-skills, which has 159 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on July 8, 2026.

Source: diegosouzapw/awesome-omni-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.